Case Based Reasoning (CBR) is a hot spot in expert system field in recent years.
基于事例推理(CBR)是近年来专家系统领域内的一个热点问题。
The case demonstrates that CBR has the characteristics of high efficiency and self learning with contrast to conventional Rule Based Reasoning (RBR).
结果表明，与传统的基于规则推理(rbr)相比，CBR具有效率高且有自学习能力的优点。
According to the building of CBR system, we analyzed and demonstrated the project of fruit diseases forecasting system based on the Case-Based Reasoning and implemented every function module.
围绕CBR系统的构建，分析论证了基于案例推理的果树病害预测系统平台的设计方案，实现了各模块功能。
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